1
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Chandrasekharan G, Unnikrishnan M. High throughput methods to study protein-protein interactions during host-pathogen interactions. Eur J Cell Biol 2024; 103:151393. [PMID: 38306772 DOI: 10.1016/j.ejcb.2024.151393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/18/2024] [Accepted: 01/21/2024] [Indexed: 02/04/2024] Open
Abstract
The ability of a pathogen to survive and cause an infection is often determined by specific interactions between the host and pathogen proteins. Such interactions can be both intra- and extracellular and may define the outcome of an infection. There are a range of innovative biochemical, biophysical and bioinformatic techniques currently available to identify protein-protein interactions (PPI) between the host and the pathogen. However, the complexity and the diversity of host-pathogen PPIs has led to the development of several high throughput (HT) techniques that enable the study of multiple interactions at once and/or screen multiple samples at the same time, in an unbiased manner. We review here the major HT laboratory-based technologies employed for host-bacterial interaction studies.
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Affiliation(s)
| | - Meera Unnikrishnan
- Division of Biomedical Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.
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2
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Cho THS, Wang J, Raivio TL. NlpE Is an OmpA-Associated Outer Membrane Sensor of the Cpx Envelope Stress Response. J Bacteriol 2023; 205:e0040722. [PMID: 37022159 PMCID: PMC10127795 DOI: 10.1128/jb.00407-22] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 03/10/2023] [Indexed: 04/07/2023] Open
Abstract
Gram-negative bacteria utilize several envelope stress responses (ESRs) to sense and respond to diverse signals within a multilayered cell envelope. The CpxRA ESR responds to multiple stresses that perturb envelope protein homeostasis. Signaling in the Cpx response is regulated by auxiliary factors, such as the outer membrane (OM) lipoprotein NlpE, an activator of the response. NlpE communicates surface adhesion to the Cpx response; however, the mechanism by which NlpE accomplishes this remains unknown. In this study, we report a novel interaction between NlpE and the major OM protein OmpA. Both NlpE and OmpA are required to activate the Cpx response in surface-adhered cells. Furthermore, NlpE senses OmpA overexpression and the NlpE C-terminal domain transduces this signal to the Cpx response, revealing a novel signaling function for this domain. Mutation of OmpA peptidoglycan-binding residues abrogates signaling during OmpA overexpression, suggesting that NlpE signaling from the OM through the cell wall is coordinated via OmpA. Overall, these findings reveal NlpE to be a versatile envelope sensor that takes advantage of its structure, localization, and cooperation with other envelope proteins to initiate adaptation to diverse signals. IMPORTANCE The envelope is not only a barrier that protects bacteria from the environment but also a crucial site for the transduction of signals critical for colonization and pathogenesis. The discovery of novel complexes between NlpE and OmpA contributes to an emerging understanding of the key contribution of OM β-barrel protein and lipoprotein complexes to envelope stress signaling. Overall, our findings provide mechanistic insight into how the Cpx response senses signals relevant to surface adhesion and biofilm growth to facilitate bacterial adaptation.
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Affiliation(s)
- Timothy H. S. Cho
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Junshu Wang
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Tracy L. Raivio
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
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3
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Lyons N, Giri R, Begun J, Clark DA, Proud D, He Y, Hooper J, Kryza T. Reactive oxygen species as mediators of disease progression and therapeutic response in colorectal cancer. Antioxid Redox Signal 2023. [PMID: 36792932 DOI: 10.1089/ars.2022.0127] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Significance Reactive oxygen species (ROS) are critical to normal cellular function with redox homeostasis achieved by balancing ROS production with removal through detoxification mechanisms. Many of the conventional chemotherapies used to treat colorectal cancer (CRC) derive a proportion of their cytotoxicity from ROS generation and resistance to chemotherapy is associated with elevated detoxification mechanisms. Furthermore, cancer stem cells demonstrate elevated detoxification mechanisms making definitive treatment with existing chemotherapy challenging. In this article we review the roles of ROS in normal and malignant colonic cell biology and how existing and emerging therapies might harness ROS for therapeutic benefit. Recent advances Recent publications have elucidated the contribution of ROS to the cytotoxicity of conventional chemotherapy alongside the emerging approaches of photodynamic therapy (PDT), sonodynamic therapy (SDT) and radiodynamic therapy (RDT) in which ROS are generated in response to excitatory light, sound or X-ray stimuli to promote cancer cell apoptosis. Critical issues The majority of patients with metastatic CRC have a very poor prognosis with 5-year survival of approximately 13% making the need for new or more effective treatments an imperative. Future Directions Modulation of ROS through a combination of new and emerging therapies may improve the efficacy of current chemotherapy providing novel approaches to treat otherwise resistant disease.
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Affiliation(s)
- Nicholas Lyons
- The University of Queensland, 1974, Mater Research, Woolloongabba, Queensland, Australia;
| | - Rabina Giri
- The University of Queensland, 1974, Mater Research, Woolloongabba, Queensland, Australia;
| | - Jakob Begun
- The University of Queensland, 1974, Mater Research, Woolloongabba, Queensland, Australia;
| | - David A Clark
- Royal Brisbane and Women's Hospital, 3883, Surgery, Herston, Queensland, Australia;
| | - David Proud
- Austin Hospital, 96043, Surgery, Heidelberg, Victoria, Australia;
| | - Yaowu He
- The University of Queensland, 1974, Mater Research, Woolloongabba, Queensland, Australia;
| | - John Hooper
- The University of Queensland, 1974, Mater Research, Translational Research Institute, 37 Kent Street, Woolloongabba, Queensland, Australia, 4102;
| | - Thomas Kryza
- The University of Queensland, 1974, Mater Research, Woolloongabba, Queensland, Australia;
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4
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Santorelli L, Caterino M, Costanzo M. Dynamic Interactomics by Cross-Linking Mass Spectrometry: Mapping the Daily Cell Life in Postgenomic Era. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2022; 26:633-649. [PMID: 36445175 DOI: 10.1089/omi.2022.0137] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The majority of processes that occur in daily cell life are modulated by hundreds to thousands of dynamic protein-protein interactions (PPI). The resulting protein complexes constitute a tangled network that, with its continuous remodeling, builds up highly organized functional units. Thus, defining the dynamic interactome of one or more proteins allows determining the full range of biological activities these proteins are capable of. This conceptual approach is poised to gain further traction and significance in the current postgenomic era wherein the treatment of severe diseases needs to be tackled at both genomic and PPI levels. This also holds true for COVID-19, a multisystemic disease affecting biological networks across the biological hierarchy from genome to proteome to metabolome. In this overarching context and the current historical moment of the COVID-19 pandemic where systems biology increasingly comes to the fore, cross-linking mass spectrometry (XL-MS) has become highly relevant, emerging as a powerful tool for PPI discovery and characterization. This expert review highlights the advanced XL-MS approaches that provide in vivo insights into the three-dimensional protein complexes, overcoming the static nature of common interactomics data and embracing the dynamics of the cell proteome landscape. Many XL-MS applications based on the use of diverse cross-linkers, MS detection methods, and predictive bioinformatic tools for single proteins or proteome-wide interactions were shown. We conclude with a future outlook on XL-MS applications in the field of structural proteomics and ways to sustain the remarkable flexibility of XL-MS for dynamic interactomics and structural studies in systems biology and planetary health.
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Affiliation(s)
- Lucia Santorelli
- Department of Oncology and Hematology-Oncology, University of Milano, Milan, Italy.,IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Marianna Caterino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.,CEINGE-Biotecnologie Avanzate s.c.ar.l., Naples, Italy
| | - Michele Costanzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.,CEINGE-Biotecnologie Avanzate s.c.ar.l., Naples, Italy
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5
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Dafun AS, Marcoux J. Structural mass spectrometry of membrane proteins. BIOCHIMICA ET BIOPHYSICA ACTA. PROTEINS AND PROTEOMICS 2022; 1870:140813. [PMID: 35750312 DOI: 10.1016/j.bbapap.2022.140813] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/10/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
The analysis of proteins and protein complexes by mass spectrometry (MS) has come a long way since the invention of electrospray ionization (ESI) in the mid 80s. Originally used to characterize small soluble polypeptide chains, MS has progressively evolved over the past 3 decades towards the analysis of samples of ever increasing heterogeneity and complexity, while the instruments have become more and more sensitive and resolutive. The proofs of concepts and first examples of most structural MS methods appeared in the early 90s. However, their application to membrane proteins, key targets in the biopharma industry, is more recent. Nowadays, a wealth of information can be gathered from such MS-based methods, on all aspects of membrane protein structure: sequencing (and more precisely proteoform characterization), but also stoichiometry, non-covalent ligand binding (metals, drug, lipids, carbohydrates), conformations, dynamics and distance restraints for modelling. In this review, we present the concept and some historical and more recent applications on membrane proteins, for the major structural MS methods.
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Affiliation(s)
- Angelique Sanchez Dafun
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Julien Marcoux
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
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6
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Piersimoni L, Kastritis PL, Arlt C, Sinz A. Cross-Linking Mass Spectrometry for Investigating Protein Conformations and Protein-Protein Interactions─A Method for All Seasons. Chem Rev 2021; 122:7500-7531. [PMID: 34797068 DOI: 10.1021/acs.chemrev.1c00786] [Citation(s) in RCA: 148] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Mass spectrometry (MS) has become one of the key technologies of structural biology. In this review, the contributions of chemical cross-linking combined with mass spectrometry (XL-MS) for studying three-dimensional structures of proteins and for investigating protein-protein interactions are outlined. We summarize the most important cross-linking reagents, software tools, and XL-MS workflows and highlight prominent examples for characterizing proteins, their assemblies, and interaction networks in vitro and in vivo. Computational modeling plays a crucial role in deriving 3D-structural information from XL-MS data. Integrating XL-MS with other techniques of structural biology, such as cryo-electron microscopy, has been successful in addressing biological questions that to date could not be answered. XL-MS is therefore expected to play an increasingly important role in structural biology in the future.
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Affiliation(s)
- Lolita Piersimoni
- Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Center for Structural Mass Spectrometry, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany
| | - Panagiotis L Kastritis
- Interdisciplinary Research Center HALOmem, Charles Tanford Protein Center, Kurt-Mothes-Strasse 3a, D-06120 Halle (Saale), Germany.,Institute of Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Biozentrum, Weinbergweg 22, D-06120 Halle (Saale), Germany
| | - Christian Arlt
- Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Center for Structural Mass Spectrometry, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany
| | - Andrea Sinz
- Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany.,Center for Structural Mass Spectrometry, Kurt-Mothes-Strasse 3, D-06120 Halle (Saale), Germany
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7
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Yugandhar K, Zhao Q, Gupta S, Xiong D, Yu H. Progress in methodologies and quality-control strategies in protein cross-linking mass spectrometry. Proteomics 2021; 21:e2100145. [PMID: 34647422 DOI: 10.1002/pmic.202100145] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 10/04/2021] [Indexed: 11/10/2022]
Abstract
Deciphering the interaction networks and structural dynamics of proteins is pivotal to better understanding their biological functions. Cross-linking mass spectrometry (XL-MS) is a powerful and increasingly popular technology that provides information about protein-protein interactions and their structural constraints for individual proteins and multiprotein complexes on a proteome-scale. In this review, we first assess the coverage and depth of the XL-MS technique by utilizing publicly available datasets. We then delve into the progress in XL-MS experimental and computational methodologies and examine different quality-control strategies reported in the literature. Finally, we discuss the progress in XL-MS applications along with the scope for future improvements.
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Affiliation(s)
- Kumar Yugandhar
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Qiuye Zhao
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Shobhita Gupta
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Dapeng Xiong
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
| | - Haiyuan Yu
- Department of Computational Biology, Cornell University, New York, USA.,Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA
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8
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Chavez JD, Wippel HH, Tang X, Keller A, Bruce JE. In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology. Chem Rev 2021; 122:7647-7689. [PMID: 34232610 PMCID: PMC8966414 DOI: 10.1021/acs.chemrev.1c00223] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Biological systems have evolved to utilize proteins to accomplish nearly all functional roles needed to sustain life. A majority of biological functions occur within the crowded environment inside cells and subcellular compartments where proteins exist in a densely packed complex network of protein-protein interactions. The structural biology field has experienced a renaissance with recent advances in crystallography, NMR, and CryoEM that now produce stunning models of large and complex structures previously unimaginable. Nevertheless, measurements of such structural detail within cellular environments remain elusive. This review will highlight how advances in mass spectrometry, chemical labeling, and informatics capabilities are merging to provide structural insights on proteins, complexes, and networks that exist inside cells. Because of the molecular detection specificity provided by mass spectrometry and proteomics, these approaches provide systems-level information that not only benefits from conventional structural analysis, but also is highly complementary. Although far from comprehensive in their current form, these approaches are currently providing systems structural biology information that can uniquely reveal how conformations and interactions involving many proteins change inside cells with perturbations such as disease, drug treatment, or phenotypic differences. With continued advancements and more widespread adaptation, systems structural biology based on in-cell labeling and mass spectrometry will provide an even greater wealth of structural knowledge.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - Helisa H Wippel
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - Xiaoting Tang
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States
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9
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Liu XR, Zhang MM, Gross ML. Mass Spectrometry-Based Protein Footprinting for Higher-Order Structure Analysis: Fundamentals and Applications. Chem Rev 2020; 120:4355-4454. [PMID: 32319757 PMCID: PMC7531764 DOI: 10.1021/acs.chemrev.9b00815] [Citation(s) in RCA: 158] [Impact Index Per Article: 31.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Proteins adopt different higher-order structures (HOS) to enable their unique biological functions. Understanding the complexities of protein higher-order structures and dynamics requires integrated approaches, where mass spectrometry (MS) is now positioned to play a key role. One of those approaches is protein footprinting. Although the initial demonstration of footprinting was for the HOS determination of protein/nucleic acid binding, the concept was later adapted to MS-based protein HOS analysis, through which different covalent labeling approaches "mark" the solvent accessible surface area (SASA) of proteins to reflect protein HOS. Hydrogen-deuterium exchange (HDX), where deuterium in D2O replaces hydrogen of the backbone amides, is the most common example of footprinting. Its advantage is that the footprint reflects SASA and hydrogen bonding, whereas one drawback is the labeling is reversible. Another example of footprinting is slow irreversible labeling of functional groups on amino acid side chains by targeted reagents with high specificity, probing structural changes at selected sites. A third footprinting approach is by reactions with fast, irreversible labeling species that are highly reactive and footprint broadly several amino acid residue side chains on the time scale of submilliseconds. All of these covalent labeling approaches combine to constitute a problem-solving toolbox that enables mass spectrometry as a valuable tool for HOS elucidation. As there has been a growing need for MS-based protein footprinting in both academia and industry owing to its high throughput capability, prompt availability, and high spatial resolution, we present a summary of the history, descriptions, principles, mechanisms, and applications of these covalent labeling approaches. Moreover, their applications are highlighted according to the biological questions they can answer. This review is intended as a tutorial for MS-based protein HOS elucidation and as a reference for investigators seeking a MS-based tool to address structural questions in protein science.
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Affiliation(s)
| | | | - Michael L. Gross
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, USA, 63130
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10
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Ryl PSJ, Bohlke-Schneider M, Lenz S, Fischer L, Budzinski L, Stuiver M, Mendes MML, Sinn L, O'Reilly FJ, Rappsilber J. In Situ Structural Restraints from Cross-Linking Mass Spectrometry in Human Mitochondria. J Proteome Res 2019; 19:327-336. [PMID: 31746214 PMCID: PMC7010328 DOI: 10.1021/acs.jproteome.9b00541] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The field of structural biology is increasingly focusing on studying proteins in situ, i.e., in their greater biological context. Cross-linking mass spectrometry (CLMS) is contributing to this effort, typically through the use of mass spectrometry (MS)-cleavable cross-linkers. Here, we apply the popular noncleavable cross-linker disuccinimidyl suberate (DSS) to human mitochondria and identify 5518 distance restraints between protein residues. Each distance restraint on proteins or their interactions provides structural information within mitochondria. Comparing these restraints to protein data bank (PDB)-deposited structures and comparative models reveals novel protein conformations. Our data suggest, among others, substrates and protein flexibility of mitochondrial heat shock proteins. Through this study, we bring forward two central points for the progression of CLMS towards large-scale in situ structural biology: First, clustered conflicts of cross-link data reveal in situ protein conformation states in contrast to error-rich individual conflicts. Second, noncleavable cross-linkers are compatible with proteome-wide studies.
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Affiliation(s)
- Petra S J Ryl
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Michael Bohlke-Schneider
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Swantje Lenz
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Lutz Fischer
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany.,Wellcome Centre for Cell Biology, School of Biological Sciences , University of Edinburgh , Edinburgh EH9 3BF , Scotland , United Kingdom
| | - Lisa Budzinski
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Marchel Stuiver
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Marta M L Mendes
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Ludwig Sinn
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Francis J O'Reilly
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany
| | - Juri Rappsilber
- Bioanalytics, Institute of Biotechnology , Technische Universität Berlin , 13355 Berlin , Germany.,Wellcome Centre for Cell Biology, School of Biological Sciences , University of Edinburgh , Edinburgh EH9 3BF , Scotland , United Kingdom
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11
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Chavez JD, Keller A, Zhou B, Tian R, Bruce JE. Cellular Interactome Dynamics during Paclitaxel Treatment. Cell Rep 2019; 29:2371-2383.e5. [PMID: 31747606 PMCID: PMC6910234 DOI: 10.1016/j.celrep.2019.10.063] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 09/23/2019] [Accepted: 10/15/2019] [Indexed: 12/12/2022] Open
Abstract
Cell-cycle inhibitors, including paclitaxel, are among the most widely used and effective cancer therapies. However, several challenges limit the success of paclitaxel, including drug resistance and toxic side effects. Paclitaxel is thought to act primarily by stabilizing microtubules, locking cells in a mitotic state. However, the resulting cytotoxicity and tumor shrinkage rates observed cannot be fully explained by this mechanism alone. Here we apply quantitative chemical cross-linking with mass spectrometry analysis to paclitaxel-treated cells. Our results provide large-scale measurements of relative protein levels and, perhaps more importantly, changes to protein conformations and interactions that occur upon paclitaxel treatment. Drug concentration-dependent changes are revealed in known drug targets including tubulins, as well as many other proteins and protein complexes involved in apoptotic signaling and cellular homeostasis. As such, this study provides insight into systems-level changes to protein structures and interactions that occur with paclitaxel treatment.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Bo Zhou
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98105, USA; Mitochondria and Metabolism Center, University of Washington, Seattle, WA 98105, USA
| | - Rong Tian
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98105, USA; Mitochondria and Metabolism Center, University of Washington, Seattle, WA 98105, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA.
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12
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Chavez JD, Mohr JP, Mathay M, Zhong X, Keller A, Bruce JE. Systems structural biology measurements by in vivo cross-linking with mass spectrometry. Nat Protoc 2019; 14:2318-2343. [PMID: 31270507 DOI: 10.1038/s41596-019-0181-3] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 04/18/2019] [Indexed: 12/23/2022]
Abstract
This protocol describes a workflow for utilizing large-scale cross-linking with mass spectrometry (XL-MS) to make systems-level structural biology measurements in complex biological samples, including cells, isolated organelles, and tissue samples. XL-MS is a structural biology technique that provides information on the molecular structure of proteins and protein complexes using chemical probes that report the proximity of probe-reactive amino acids within proteins, typically lysine residues. Information gained through XL-MS studies is often complementary to more traditional methods, such as X-ray crystallography, nuclear magnetic resonance, and cryo-electron microscopy. The use of MS-cleavable cross-linkers, including protein interaction reporter (PIR) technologies, enables XL-MS studies on protein structures and interactions in extremely complex biological samples, including intact living cells. PIR cross-linkers are designed to contain chemical bonds at specific locations within the cross-linker molecule that can be selectively cleaved by collision-induced dissociation or UV light. When broken, these bonds release the intact peptides that were cross-linked, as well as a reporter ion. Conservation of mass dictates that the sum of the two released peptide masses and the reporter mass equals the measured precursor mass. This relationship is used to identify cross-linked peptide pairs. Release of the individual peptides permits accurate measurement of their masses and independent amino acid sequence determination by tandem MS, allowing the use of standard proteomics search engines such as Comet for peptide sequence assignment, greatly simplifying data analysis of cross-linked peptide pairs. Search results are processed with XLinkProphet for validation and can be uploaded into XlinkDB for interaction network and structural analysis.
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Affiliation(s)
- Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jared P Mohr
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Martin Mathay
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Xuefei Zhong
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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13
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Ser Z, Cifani P, Kentsis A. Optimized Cross-Linking Mass Spectrometry for in Situ Interaction Proteomics. J Proteome Res 2019; 18:2545-2558. [PMID: 31083951 DOI: 10.1021/acs.jproteome.9b00085] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Recent development of mass spectrometer cleavable protein cross-linkers and algorithms for their spectral identification now permits large-scale cross-linking mass spectrometry (XL-MS). Here, we optimized the use of cleavable disuccinimidyl sulfoxide (DSSO) cross-linker for labeling native protein complexes in live human cells. We applied a generalized linear mixture model to calibrate cross-link peptide-spectra matching (CSM) scores to control the sensitivity and specificity of large-scale XL-MS. Using specific CSM score thresholds to control the false discovery rate, we found that higher-energy collisional dissociation (HCD) and electron transfer dissociation (ETD) can both be effective for large-scale XL-MS protein interaction mapping. We found that the coverage of protein-protein interaction maps is significantly improved through the use of multiple proteases. In addition, the use of focused sample-specific search databases can be used to improve the specificity of cross-linked peptide spectral matching. Application of this approach to human chromatin labeled in live cells recapitulated known and revealed new protein interactions of nucleosomes and other chromatin-associated complexes in situ. This optimized approach for mapping native protein interactions should be useful for a wide range of biological problems.
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Affiliation(s)
| | | | - Alex Kentsis
- Department of Pediatrics, Pharmacology, and Physiology & Biophysics, Weill Cornell Medical College , Cornell University , New York , New York 10065 , United States
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14
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Fang Z, Baghdady YZ, Schug KA, Chowdhury SM. Evaluation of Different Stationary Phases in the Separation of Inter-Cross-Linked Peptides. J Proteome Res 2019; 18:1916-1925. [PMID: 30786713 DOI: 10.1021/acs.jproteome.9b00114] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Chemical cross-linking coupled with mass spectrometry (MS) is becoming a routinely and widely used technique for depicting and constructing protein structures and protein interaction networks. One major challenge for cross-linking/MS is the determination of informative low-abundant inter-cross-linked products, generated within a sample of high complexity. A C18 stationary phase is the conventional means for reversed-phase (RP) separation of inter-cross-linked peptides. Various RP stationary phases, which provide different selectivities and retentions, have been developed as alternatives to C18 stationary phases. In this study, two phenyl-based columns, biphenyl and fluorophenyl, were investigated and compared with a C18 phase for separating BS3 (bis(sulfosuccinimidyl)suberate) cross-linked bovine serum albumin (BSA) and myoglobin by bottom-up proteomics. Fractions from the three columns were collected and analyzed in a linear ion trap (LIT) mass spectrometer for improving detection of low abundant inter-cross-linked peptides. Among these three columns, the fluorophenyl column provides additional ion-exchange interaction and exhibits unique retention in separating the cross-linked peptides. The fractioned data was analyzed in pLink, showing the fluorophenyl column consistently obtained more inter-cross-linked peptide identifications than both C18 and biphenyl columns. For the BSA cross-linked sample, the identified inter-cross-linked peptide numbers of the fluorophenyl to C18 column are 136 to 102 in "low confident" results and 11 to 6 in "high confident" results. The fluorophenyl column could potentially be a better alternative for targeting the low stoichiometric inter-cross-linked peptides.
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Affiliation(s)
- Zixiang Fang
- Department of Chemistry & Biochemistry , The University of Texas at Arlington , Arlington , Texas 76019 , United States
| | - Yehia Z Baghdady
- Department of Chemistry & Biochemistry , The University of Texas at Arlington , Arlington , Texas 76019 , United States
| | - Kevin A Schug
- Department of Chemistry & Biochemistry , The University of Texas at Arlington , Arlington , Texas 76019 , United States
| | - Saiful M Chowdhury
- Department of Chemistry & Biochemistry , The University of Texas at Arlington , Arlington , Texas 76019 , United States
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15
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Kaur U, Johnson DT, Chea EE, Deredge DJ, Espino JA, Jones LM. Evolution of Structural Biology through the Lens of Mass Spectrometry. Anal Chem 2019; 91:142-155. [PMID: 30457831 PMCID: PMC6472977 DOI: 10.1021/acs.analchem.8b05014] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Upneet Kaur
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
| | - Danté T. Johnson
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
| | - Emily E. Chea
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
| | - Daniel J. Deredge
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
| | - Jessica A. Espino
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
| | - Lisa M. Jones
- Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland 21201, United States
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16
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Iacobucci C, Piotrowski C, Rehkamp A, Ihling CH, Sinz A. The First MS-Cleavable, Photo-Thiol-Reactive Cross-Linker for Protein Structural Studies. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:139-148. [PMID: 29679287 DOI: 10.1007/s13361-018-1952-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 03/06/2018] [Accepted: 03/07/2018] [Indexed: 06/08/2023]
Abstract
Cleavable cross-linkers are gaining increasing importance for chemical cross-linking/mass spectrometry (MS) as they permit a reliable and automated data analysis in structural studies of proteins and protein assemblies. Here, we introduce 1,3-diallylurea (DAU) as the first CID-MS/MS-cleavable, photo-thiol-reactive cross-linker. DAU is a commercially available, inexpensive reagent that efficiently undergoes an anti-Markovnikov hydrothiolation with cysteine residues in the presence of a radical initiator upon UV-A irradiation. Radical cysteine cross-linking proceeds via an orthogonal "click reaction" and yields stable alkyl sulfide products. DAU reacts at physiological pH and cross-linking reactions with peptides, and proteins can be performed at temperatures as low as 4 °C. The central urea bond is efficiently cleaved upon collisional activation during tandem MS experiments generating characteristic product ions. This improves the reliability of automated cross-link identification. Different radical initiators have been screened for the cross-linking reaction of DAU using the thiol-containing compounds cysteine and glutathione. Our concept has also been exemplified for the biologically relevant proteins bMunc13-2 and retinal guanylyl cyclase-activating protein-2. Graphical abstract ᅟ.
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Affiliation(s)
- Claudio Iacobucci
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Charles Tanford Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Str. 3a, 06120, Halle (Saale), Germany.
| | - Christine Piotrowski
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Charles Tanford Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Str. 3a, 06120, Halle (Saale), Germany
| | - Anne Rehkamp
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Charles Tanford Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Str. 3a, 06120, Halle (Saale), Germany
| | - Christian H Ihling
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Charles Tanford Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Str. 3a, 06120, Halle (Saale), Germany
| | - Andrea Sinz
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Charles Tanford Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Str. 3a, 06120, Halle (Saale), Germany.
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17
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A cross-linking/mass spectrometry workflow based on MS-cleavable cross-linkers and the MeroX software for studying protein structures and protein–protein interactions. Nat Protoc 2018; 13:2864-2889. [DOI: 10.1038/s41596-018-0068-8] [Citation(s) in RCA: 145] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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18
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Liu S, Yu F, Hu Q, Wang T, Yu L, Du S, Yu W, Li N. Development of in Planta Chemical Cross-Linking-Based Quantitative Interactomics in Arabidopsis. J Proteome Res 2018; 17:3195-3213. [DOI: 10.1021/acs.jproteome.8b00320] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Shichang Liu
- Division of Life Science, Energy Institute, Institute for the Environment, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Fengchao Yu
- Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Qin Hu
- Division of Life Science, Energy Institute, Institute for the Environment, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Tingliang Wang
- Tsinghua-Peking Joint Center for Life Sciences, Center for Structural Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing 100084, China
| | - Lujia Yu
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Shengwang Du
- Department of Physics, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Weichuan Yu
- Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Ning Li
- Division of Life Science, Energy Institute, Institute for the Environment, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- The Hong Kong University of Science and Technology, Shenzhen Research Institute, Shenzhen Guangdong 518057, China
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19
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Kiselar J, Chance MR. High-Resolution Hydroxyl Radical Protein Footprinting: Biophysics Tool for Drug Discovery. Annu Rev Biophys 2018. [DOI: 10.1146/annurev-biophys-070317-033123] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Hydroxyl radical footprinting (HRF) of proteins with mass spectrometry (MS) is a widespread approach for assessing protein structure. Hydroxyl radicals react with a wide variety of protein side chains, and the ease with which radicals can be generated (by radiolysis or photolysis) has made the approach popular with many laboratories. As some side chains are less reactive and thus cannot be probed, additional specific and nonspecific labeling reagents have been introduced to extend the approach. At the same time, advances in liquid chromatography and MS approaches permit an examination of the labeling of individual residues, transforming the approach to high resolution. Lastly, advances in understanding of the chemistry of the approach have led to the determination of absolute protein topologies from HRF data. Overall, the technology can provide precise and accurate measures of side-chain solvent accessibility in a wide range of interesting and useful contexts for the study of protein structure and dynamics in both academia and industry.
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Affiliation(s)
- Janna Kiselar
- Center for Proteomics and Bioinformatics, and Department of Nutrition, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Mark R. Chance
- Center for Proteomics and Bioinformatics, and Department of Nutrition, Case Western Reserve University, Cleveland, Ohio 44106, USA
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20
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Mohr JP, Perumalla P, Chavez JD, Eng JK, Bruce JE. Mango: A General Tool for Collision Induced Dissociation-Cleavable Cross-Linked Peptide Identification. Anal Chem 2018; 90:6028-6034. [PMID: 29676898 PMCID: PMC5959040 DOI: 10.1021/acs.analchem.7b04991] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Chemical cross-linking combined with mass spectrometry provides a method to study protein structures and interactions. The introduction of cleavable bonds in a cross-linker provides an avenue to decouple released peptide masses from their precursor species, greatly simplifying the downstream search, allowing for whole proteome investigations to be performed. Typically, these experiments have been challenging to carry out, often utilizing nonstandard methods to fully identify cross-linked peptides. Mango is an open source software tool that extracts precursor masses from chimeric spectra generated using cleavable cross-linkers, greatly simplifying the downstream search. As it is designed to work with chimeric spectra, Mango can be used on traditional high-resolution tandem mass spectrometry (MS/MS) capable mass spectrometers without the need for additional modifications. When paired with a traditional proteomics search engine, Mango can be used to identify several thousand cross-linked peptide pairs searching against the entire Escherichia coli proteome. Mango provides an avenue to perform whole proteome cross-linking experiments without specialized instrumentation or access to nonstandard methods.
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Affiliation(s)
- Jared P. Mohr
- Department of Genome Sciences, University of Washington, Seattle, Washington 98105, United States
| | - Poorna Perumalla
- Department of Genome Sciences, University of Washington, Seattle, Washington 98105, United States
| | - Juan D. Chavez
- Department of Genome Sciences, University of Washington, Seattle, Washington 98105, United States
| | - Jimmy K. Eng
- Department of Genome Sciences, University of Washington, Seattle, Washington 98105, United States
| | - James E. Bruce
- Department of Genome Sciences, University of Washington, Seattle, Washington 98105, United States
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21
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Orbán-Németh Z, Beveridge R, Hollenstein DM, Rampler E, Stranzl T, Hudecz O, Doblmann J, Schlögelhofer P, Mechtler K. Structural prediction of protein models using distance restraints derived from cross-linking mass spectrometry data. Nat Protoc 2018; 13:478-494. [PMID: 29419816 PMCID: PMC5999019 DOI: 10.1038/nprot.2017.146] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This protocol describes a workflow for creating structural models of proteins or protein complexes using distance restraints derived from cross-linking mass spectrometry experiments. The distance restraints are used (i) to adjust preliminary models that are calculated on the basis of a homologous template and primary sequence, and (ii) to select the model that is in best agreement with the experimental data. In the case of protein complexes, the cross-linking data are further used to dock the subunits to one another to generate models of the interacting proteins. Predicting models in such a manner has the potential to indicate multiple conformations and dynamic changes that occur in solution. This modeling protocol is compatible with many cross-linking workflows and uses open-source programs or programs that are free for academic users and do not require expertise in computational modeling. This protocol is an excellent additional application with which to use cross-linking results for building structural models of proteins. The established protocol is expected to take 6-12 d to complete, depending on the size of the proteins and the complexity of the cross-linking data.
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Affiliation(s)
- Zsuzsanna Orbán-Németh
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Rebecca Beveridge
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - David M. Hollenstein
- Department of Biochemistry and Cell Biology, Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
| | - Evelyn Rampler
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Thomas Stranzl
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Otto Hudecz
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Johannes Doblmann
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Peter Schlögelhofer
- Department of Chromosome Biology, Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
| | - Karl Mechtler
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
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22
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Yu C, Huang L. Cross-Linking Mass Spectrometry: An Emerging Technology for Interactomics and Structural Biology. Anal Chem 2018; 90:144-165. [PMID: 29160693 PMCID: PMC6022837 DOI: 10.1021/acs.analchem.7b04431] [Citation(s) in RCA: 249] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Clinton Yu
- Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697
| | - Lan Huang
- Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697
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23
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Liew CW, Hynson RM, Ganuelas LA, Shah-Mohammadi N, Duff AP, Kojima S, Homma M, Lee LK. Solution structure analysis of the periplasmic region of bacterial flagellar motor stators by small angle X-ray scattering. Biochem Biophys Res Commun 2017; 495:1614-1619. [PMID: 29197577 DOI: 10.1016/j.bbrc.2017.11.194] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 11/28/2017] [Indexed: 01/18/2023]
Abstract
The bacterial flagellar motor drives the rotation of helical flagellar filaments to propel bacteria through viscous media. It consists of a dynamic population of mechanosensitive stators that are embedded in the inner membrane and activate in response to external load. This entails assembly around the rotor, anchoring to the peptidoglycan layer to counteract torque from the rotor and opening of a cation channel to facilitate an influx of cations, which is converted into mechanical rotation. Stator complexes are comprised of four copies of an integral membrane A subunit and two copies of a B subunit. Each B subunit includes a C-terminal OmpA-like peptidoglycan-binding (PGB) domain. This is thought to be linked to a single N-terminal transmembrane helix by a long unstructured peptide, which allows the PGB domain to bind to the peptidoglycan layer during stator anchoring. The high-resolution crystal structures of flagellar motor PGB domains from Salmonella enterica (MotBC2) and Vibrio alginolyticus (PomBC5) have previously been elucidated. Here, we use small-angle X-ray scattering (SAXS). We show that unlike MotBC2, the dimeric conformation of the PomBC5 in solution differs to its crystal structure, and explore the functional relevance by characterising gain-of-function mutants as well as wild-type constructs of various lengths. These provide new insight into the conformational diversity of flagellar motor PGB domains and experimental verification of their overall topology.
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Affiliation(s)
- C W Liew
- School of Medical Sciences, The University of New South Wales, Australia
| | - R M Hynson
- Structural and Computational Biology Division, The Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
| | - L A Ganuelas
- School of Medical Sciences, The University of New South Wales, Australia
| | - N Shah-Mohammadi
- Structural and Computational Biology Division, The Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia; Climate Change Cluster, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - A P Duff
- Australian Nuclear and Science Technology Organisation, Lucas Heights, New South Wales, Australia
| | - S Kojima
- Division of Biological Science, Graduate School of Science, Nagoya University, Chikusa-Ku, Nagoya 464-8602, Japan
| | - M Homma
- Division of Biological Science, Graduate School of Science, Nagoya University, Chikusa-Ku, Nagoya 464-8602, Japan
| | - L K Lee
- School of Medical Sciences, The University of New South Wales, Australia; Structural and Computational Biology Division, The Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.
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24
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Samsudin F, Boags A, Piggot TJ, Khalid S. Braun's Lipoprotein Facilitates OmpA Interaction with the Escherichia coli Cell Wall. Biophys J 2017; 113:1496-1504. [PMID: 28978443 DOI: 10.1016/j.bpj.2017.08.011] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 07/13/2017] [Accepted: 08/02/2017] [Indexed: 11/29/2022] Open
Abstract
Gram-negative bacteria such as Escherichia coli are protected by a complex cell envelope. The development of novel therapeutics against these bacteria necessitates a molecular level understanding of the structure-dynamics-function relationships of the various components of the cell envelope. We use atomistic MD simulations to reveal the details of covalent and noncovalent protein interactions that link the outer membrane to the aqueous periplasmic region. We show that the Braun's lipoprotein tilts and bends, and thereby lifts the cell wall closer to the outer membrane. Both monomers and dimers of the outer membrane porin OmpA can interact with peptidoglycan in the presence of Braun's lipoprotein, but in the absence of the latter, only dimers of OmpA show a propensity to form contacts with peptidoglycan. Our study provides a glimpse of how the molecular components of the bacterial cell envelope interact with each other to mediate cell wall attachment in E. coli.
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Affiliation(s)
- Firdaus Samsudin
- School of Chemistry, University of Southampton, Highfield, Southampton, United Kingdom
| | - Alister Boags
- School of Chemistry, University of Southampton, Highfield, Southampton, United Kingdom
| | - Thomas J Piggot
- School of Chemistry, University of Southampton, Highfield, Southampton, United Kingdom; CBR Division, Defence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire, United Kingdom
| | - Syma Khalid
- School of Chemistry, University of Southampton, Highfield, Southampton, United Kingdom.
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25
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Kar UK, Simonian M, Whitelegge JP. Integral membrane proteins: bottom-up, top-down and structural proteomics. Expert Rev Proteomics 2017; 14:715-723. [PMID: 28737967 DOI: 10.1080/14789450.2017.1359545] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
INTRODUCTION Integral membrane proteins and lipids constitute the bilayer membranes that surround cells and sub-cellular compartments, and modulate movements of molecules and information between them. Since membrane protein drug targets represent a disproportionately large segment of the proteome, technical developments need timely review. Areas covered: Publically available resources such as Pubmed were surveyed. Bottom-up proteomics analyses now allow efficient extraction and digestion such that membrane protein coverage is essentially complete, making up around one third of the proteome. However, this coverage relies upon hydrophilic loop regions while transmembrane domains are generally poorly covered in peptide-based strategies. Top-down mass spectrometry where the intact membrane protein is fragmented in the gas phase gives good coverage in transmembrane regions, and membrane fractions are yielding to high-throughput top-down proteomics. Exciting progress in native mass spectrometry of membrane protein complexes is providing insights into subunit stoichiometry and lipid binding, and cross-linking strategies are contributing critical in-vivo information. Expert commentary: It is clear from the literature that integral membrane proteins have yielded to advanced techniques in protein chemistry and mass spectrometry, with applications limited only by the imagination of investigators. Key advances toward translation to the clinic are emphasized.
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Affiliation(s)
- Upendra K Kar
- a Department of Pharmaceutical Sciences, College of Pharmacy , University of Arkansas for Medical Sciences , Little Rock , AR , USA
| | - Margaret Simonian
- b NPI-Semel Institute , University of California Los Angeles , Los Angeles , CA , USA
| | - Julian P Whitelegge
- b NPI-Semel Institute , University of California Los Angeles , Los Angeles , CA , USA
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26
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de Jong L, de Koning EA, Roseboom W, Buncherd H, Wanner MJ, Dapic I, Jansen PJ, van Maarseveen JH, Corthals GL, Lewis PJ, Hamoen LW, de Koster CG. In-Culture Cross-Linking of Bacterial Cells Reveals Large-Scale Dynamic Protein-Protein Interactions at the Peptide Level. J Proteome Res 2017; 16:2457-2471. [PMID: 28516784 PMCID: PMC5504490 DOI: 10.1021/acs.jproteome.7b00068] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
![]()
Identification of
dynamic protein–protein interactions at
the peptide level on a proteomic scale is a challenging approach that
is still in its infancy. We have developed a system to cross-link
cells directly in culture with the special lysine cross-linker bis(succinimidyl)-3-azidomethyl-glutarate
(BAMG). We used the Gram-positive model bacterium Bacillus
subtilis as an exemplar system. Within 5 min extensive intracellular
cross-linking was detected, while intracellular cross-linking in a
Gram-negative species, Escherichia coli, was still
undetectable after 30 min, in agreement with the low permeability
in this organism for lipophilic compounds like BAMG. We were able
to identify 82 unique interprotein cross-linked peptides with <1%
false discovery rate by mass spectrometry and genome-wide database
searching. Nearly 60% of the interprotein cross-links occur in assemblies
involved in transcription and translation. Several of these interactions
are new, and we identified a binding site between the δ and
β′ subunit of RNA polymerase close to the downstream
DNA channel, providing a clue into how δ might regulate promoter
selectivity and promote RNA polymerase recycling. Our methodology
opens new avenues to investigate the functional dynamic organization
of complex protein assemblies involved in bacterial growth. Data are
available via ProteomeXchange with identifier PXD006287.
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Affiliation(s)
| | | | | | - Hansuk Buncherd
- Faculty of Medical Technology, Prince of Songkla University , Hatyai, Songkhla 90110, Thailand
| | | | | | | | | | | | - Peter J Lewis
- School of Environmental and Life Sciences, University of Newcastle , Callaghan, New South Wales 2308, Australia
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27
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Wang X, Cimermancic P, Yu C, Schweitzer A, Chopra N, Engel JL, Greenberg C, Huszagh AS, Beck F, Sakata E, Yang Y, Novitsky EJ, Leitner A, Nanni P, Kahraman A, Guo X, Dixon JE, Rychnovsky SD, Aebersold R, Baumeister W, Sali A, Huang L. Molecular Details Underlying Dynamic Structures and Regulation of the Human 26S Proteasome. Mol Cell Proteomics 2017; 16:840-854. [PMID: 28292943 PMCID: PMC5417825 DOI: 10.1074/mcp.m116.065326] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2016] [Revised: 02/13/2017] [Indexed: 12/28/2022] Open
Abstract
The 26S proteasome is the macromolecular machine responsible for ATP/ubiquitin dependent degradation. As aberration in proteasomal degradation has been implicated in many human diseases, structural analysis of the human 26S proteasome complex is essential to advance our understanding of its action and regulation mechanisms. In recent years, cross-linking mass spectrometry (XL-MS) has emerged as a powerful tool for elucidating structural topologies of large protein assemblies, with its unique capability of studying protein complexes in cells. To facilitate the identification of cross-linked peptides, we have previously developed a robust amine reactive sulfoxide-containing MS-cleavable cross-linker, disuccinimidyl sulfoxide (DSSO). To better understand the structure and regulation of the human 26S proteasome, we have established new DSSO-based in vivo and in vitro XL-MS workflows by coupling with HB-tag based affinity purification to comprehensively examine protein-protein interactions within the 26S proteasome. In total, we have identified 447 unique lysine-to-lysine linkages delineating 67 interprotein and 26 intraprotein interactions, representing the largest cross-link dataset for proteasome complexes. In combination with EM maps and computational modeling, the architecture of the 26S proteasome was determined to infer its structural dynamics. In particular, three proteasome subunits Rpn1, Rpn6, and Rpt6 displayed multiple conformations that have not been previously reported. Additionally, cross-links between proteasome subunits and 15 proteasome interacting proteins including 9 known and 6 novel ones have been determined to demonstrate their physical interactions at the amino acid level. Our results have provided new insights on the dynamics of the 26S human proteasome and the methodologies presented here can be applied to study other protein complexes.
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Affiliation(s)
- Xiaorong Wang
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, California 92697
| | - Peter Cimermancic
- §Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94143
| | - Clinton Yu
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, California 92697
| | - Andreas Schweitzer
- ¶Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany
| | - Nikita Chopra
- §Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94143
| | - James L Engel
- ‖Department of Pharmacology, University of California, San Diego, La Jolla, California, 92093
| | - Charles Greenberg
- §Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94143
| | - Alexander S Huszagh
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, California 92697
| | - Florian Beck
- ¶Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany
| | - Eri Sakata
- ¶Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany
| | - Yingying Yang
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, California 92697
| | - Eric J Novitsky
- **Department of Chemistry, University of California, Irvine, Irvine, California 92697
| | - Alexander Leitner
- ‡‡Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule (ETH) Zürich, Zurich, Switzerland
| | - Paolo Nanni
- §§Functional Genomics Center Zurich (FGCZ), University of Zurich, ETH Zurich, CH-8057 Zurich, Switzerland
| | - Abdullah Kahraman
- ¶¶Institute of Molecular Life Sciences, University of Zurich, CH-8057 Zurich, Switzerland
| | - Xing Guo
- ‖Department of Pharmacology, University of California, San Diego, La Jolla, California, 92093
| | - Jack E Dixon
- ‖Department of Pharmacology, University of California, San Diego, La Jolla, California, 92093
| | - Scott D Rychnovsky
- **Department of Chemistry, University of California, Irvine, Irvine, California 92697
| | - Ruedi Aebersold
- ‡‡Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule (ETH) Zürich, Zurich, Switzerland
- Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Wolfgang Baumeister
- ¶Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany
| | - Andrej Sali
- §Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94143
| | - Lan Huang
- From the ‡Department of Physiology & Biophysics, University of California, Irvine, Irvine, California 92697;
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28
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Jahangiri A, Rasooli I, Owlia P, Fooladi AAI, Salimian J. In silico design of an immunogen against Acinetobacter baumannii based on a novel model for native structure of Outer membrane protein A. Microb Pathog 2017; 105:201-210. [DOI: 10.1016/j.micpath.2017.02.028] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 02/05/2017] [Accepted: 02/20/2017] [Indexed: 11/17/2022]
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29
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Wang L, Chance MR. Protein Footprinting Comes of Age: Mass Spectrometry for Biophysical Structure Assessment. Mol Cell Proteomics 2017; 16:706-716. [PMID: 28275051 DOI: 10.1074/mcp.o116.064386] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 03/06/2017] [Indexed: 12/17/2022] Open
Abstract
Protein footprinting mediated by mass spectrometry has evolved over the last 30 years from proof of concept to commonplace biophysics tool, with unique capabilities for assessing structure and dynamics of purified proteins in physiological states in solution. This review outlines the history and current capabilities of two major methods of protein footprinting: reversible hydrogen-deuterium exchange (HDX) and hydroxyl radical footprinting (HRF), an irreversible covalent labeling approach. Technological advances in both approaches now permit high-resolution assessments of protein structure including secondary and tertiary structure stability mediated by backbone interactions (measured via HDX) and solvent accessibility of side chains (measured via HRF). Applications across many academic fields and in biotechnology drug development are illustrated including: detection of protein interfaces, identification of ligand/drug binding sites, and monitoring dynamics of protein conformational changes along with future prospects for advancement of protein footprinting in structural biology and biophysics research.
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Affiliation(s)
- Liwen Wang
- From the ‡Center for Proteomics and Bioinformatics, Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Mark R Chance
- From the ‡Center for Proteomics and Bioinformatics, Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio
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30
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Mitochondrial protein interactome elucidated by chemical cross-linking mass spectrometry. Proc Natl Acad Sci U S A 2017; 114:1732-1737. [PMID: 28130547 PMCID: PMC5321032 DOI: 10.1073/pnas.1617220114] [Citation(s) in RCA: 143] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Mitochondrial protein interactions and complexes facilitate mitochondrial function. These complexes range from simple dimers to the respirasome supercomplex consisting of oxidative phosphorylation complexes I, III, and IV. To improve understanding of mitochondrial function, we used chemical cross-linking mass spectrometry to identify 2,427 cross-linked peptide pairs from 327 mitochondrial proteins in whole, respiring murine mitochondria. In situ interactions were observed in proteins throughout the electron transport chain membrane complexes, ATP synthase, and the mitochondrial contact site and cristae organizing system (MICOS) complex. Cross-linked sites showed excellent agreement with empirical protein structures and delivered complementary constraints for in silico protein docking. These data established direct physical evidence of the assembly of the complex I-III respirasome and enabled prediction of in situ interfacial regions of the complexes. Finally, we established a database and tools to harness the cross-linked interactions we observed as molecular probes, allowing quantification of conformation-dependent protein interfaces and dynamic protein complex assembly.
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31
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Lössl P, van de Waterbeemd M, Heck AJ. The diverse and expanding role of mass spectrometry in structural and molecular biology. EMBO J 2016; 35:2634-2657. [PMID: 27797822 PMCID: PMC5167345 DOI: 10.15252/embj.201694818] [Citation(s) in RCA: 171] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 07/25/2016] [Accepted: 10/07/2016] [Indexed: 12/20/2022] Open
Abstract
The emergence of proteomics has led to major technological advances in mass spectrometry (MS). These advancements not only benefitted MS-based high-throughput proteomics but also increased the impact of mass spectrometry on the field of structural and molecular biology. Here, we review how state-of-the-art MS methods, including native MS, top-down protein sequencing, cross-linking-MS, and hydrogen-deuterium exchange-MS, nowadays enable the characterization of biomolecular structures, functions, and interactions. In particular, we focus on the role of mass spectrometry in integrated structural and molecular biology investigations of biological macromolecular complexes and cellular machineries, highlighting work on CRISPR-Cas systems and eukaryotic transcription complexes.
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Affiliation(s)
- Philip Lössl
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Michiel van de Waterbeemd
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Albert Jr Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
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32
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Samsudin F, Ortiz-Suarez ML, Piggot TJ, Bond PJ, Khalid S. OmpA: A Flexible Clamp for Bacterial Cell Wall Attachment. Structure 2016; 24:2227-2235. [PMID: 27866852 DOI: 10.1016/j.str.2016.10.009] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 09/16/2016] [Accepted: 10/14/2016] [Indexed: 11/22/2022]
Abstract
The envelope of Gram-negative bacteria is highly complex, containing separate outer and inner membranes and an intervening periplasmic space encompassing a peptidoglycan (PGN) cell wall. The PGN scaffold is anchored non-covalently to the outer membrane via globular OmpA-like domains of various proteins. We report atomically detailed simulations of PGN bound to OmpA in three different states, including the isolated C-terminal domain (CTD), the full-length monomer, or the complete full-length dimeric form. Comparative analysis of dynamics of OmpA CTD from different bacteria helped to identify a conserved PGN-binding mode. The dynamics of full-length OmpA, embedded within a realistic representation of the outer membrane containing full-rough (Ra) lipopolysaccharide, phospholipids, and cardiolipin, suggested how the protein may provide flexible mechanical support to the cell wall. An accurate model of the heterogeneous bacterial cell envelope should facilitate future efforts to develop antibacterial agents.
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Affiliation(s)
- Firdaus Samsudin
- School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, UK
| | - Maite L Ortiz-Suarez
- School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, UK
| | - Thomas J Piggot
- School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, UK; CBR Division, Defence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire SP4 0JQ, UK
| | - Peter J Bond
- Bioinformatics Institute (A(∗)STAR), 30 Biopolis Street, 07-01 Matrix, Singapore 138671, Singapore; National University of Singapore, Department of Biological Sciences, 14 Science Drive 4, Singapore 117543, Singapore.
| | - Syma Khalid
- School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, UK.
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33
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Wu X, Chavez JD, Schweppe DK, Zheng C, Weisbrod CR, Eng JK, Murali A, Lee SA, Ramage E, Gallagher LA, Kulasekara HD, Edrozo ME, Kamischke CN, Brittnacher MJ, Miller SI, Singh PK, Manoil C, Bruce JE. In vivo protein interaction network analysis reveals porin-localized antibiotic inactivation in Acinetobacter baumannii strain AB5075. Nat Commun 2016; 7:13414. [PMID: 27834373 PMCID: PMC5114622 DOI: 10.1038/ncomms13414] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Accepted: 09/30/2016] [Indexed: 12/13/2022] Open
Abstract
The nosocomial pathogen Acinetobacter baumannii is a frequent cause of hospital-acquired infections worldwide and is a challenge for treatment due to its evolved resistance to antibiotics, including carbapenems. Here, to gain insight on A. baumannii antibiotic resistance mechanisms, we analyse the protein interaction network of a multidrug-resistant A. baumannii clinical strain (AB5075). Using in vivo chemical cross-linking and mass spectrometry, we identify 2,068 non-redundant cross-linked peptide pairs containing 245 intra- and 398 inter-molecular interactions. Outer membrane proteins OmpA and YiaD, and carbapenemase Oxa-23 are hubs of the identified interaction network. Eighteen novel interactors of Oxa-23 are identified. Interactions of Oxa-23 with outer membrane porins OmpA and CarO are verified with co-immunoprecipitation analysis. Furthermore, transposon mutagenesis of oxa-23 or interactors of Oxa-23 demonstrates changes in meropenem or imipenem sensitivity in strain AB5075. These results provide a view of porin-localized antibiotic inactivation and increase understanding of bacterial antibiotic resistance mechanisms.
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Affiliation(s)
- Xia Wu
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Juan D. Chavez
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Devin K. Schweppe
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Chunxiang Zheng
- Department of Chemistry, University of Washington, Seattle, Washington 98109, USA
| | - Chad R. Weisbrod
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Jimmy K. Eng
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Ananya Murali
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Samuel A. Lee
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Elizabeth Ramage
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - Larry A. Gallagher
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | | | - Mauna E. Edrozo
- Department of Microbiology, University of Washington, Seattle, Washington 98195, USA
| | | | | | - Samuel I. Miller
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
- Department of Microbiology, University of Washington, Seattle, Washington 98195, USA
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Pradeep K. Singh
- Department of Microbiology, University of Washington, Seattle, Washington 98195, USA
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Colin Manoil
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
| | - James E. Bruce
- Department of Genome Sciences, University of Washington, 850 Republican Street, Brotman Building Room 154, Seattle, Washington 98109, USA
- Department of Chemistry, University of Washington, Seattle, Washington 98109, USA
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34
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Scribano D, Damico R, Ambrosi C, Superti F, Marazzato M, Conte MP, Longhi C, Palamara AT, Zagaglia C, Nicoletti M. The Shigella flexneri OmpA amino acid residues 188EVQ 190 are essential for the interaction with the virulence factor PhoN2. Biochem Biophys Rep 2016; 8:168-173. [PMID: 28955953 PMCID: PMC5613738 DOI: 10.1016/j.bbrep.2016.08.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 07/27/2016] [Accepted: 08/01/2016] [Indexed: 01/07/2023] Open
Abstract
Shigella flexneri is an intracellular pathogen that deploys an arsenal of virulence factors promoting host cell invasion, intracellular multiplication and intra- and inter-cellular dissemination. We have previously reported that the interaction between apyrase (PhoN2), a periplasmic ATP-diphosphohydrolase, and the C-terminal domain of the outer membrane (OM) protein OmpA is likely required for proper IcsA exposition at the old bacterial pole and thus for full virulence expression of Shigella flexneri (Scribano et al., 2014). OmpA, that is the major OM protein of Gram-negative bacteria, is a multifaceted protein that plays many different roles both in the OM structural integrity and in the virulence of several pathogens. Here, by using yeast two-hybrid technology and by constructing an in silico 3D model of OmpA from S. flexneri 5a strain M90T, we observed that the OmpA residues 188EVQ190 are likely essential for PhoN2-OmpA interaction. The 188EVQ190 amino acids are located within a flexible region of the OmpA protein that could represent a scaffold for protein-protein interaction.
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Affiliation(s)
- Daniela Scribano
- Dip. Scienze Mediche, Orali e Biotecnologiche, Università "G. D'Annunzio" di Chieti, Chieti, Italy.,Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Rosanna Damico
- Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Cecilia Ambrosi
- Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Fabiana Superti
- Reparto Patologia Infettiva Ultrastrutturale, Dipartimento di Tecnologie e Salute, Istituto Superiore di Sanità, Rome, Italy
| | - Massimiliano Marazzato
- Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Maria Pia Conte
- Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Catia Longhi
- Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Anna Teresa Palamara
- Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Carlo Zagaglia
- Dip. di Sanità Pubblica e Malattie Infettive, Università "Sapienza" di Roma, Rome, Italy
| | - Mauro Nicoletti
- Dip. Scienze Mediche, Orali e Biotecnologiche, Università "G. D'Annunzio" di Chieti, Chieti, Italy
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35
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Zhu X, Yu F, Yang Z, Liu S, Dai C, Lu X, Liu C, Yu W, Li N. In plantachemical cross-linking and mass spectrometry analysis of protein structure and interaction in Arabidopsis. Proteomics 2016; 16:1915-27. [DOI: 10.1002/pmic.201500310] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 04/18/2016] [Accepted: 05/17/2016] [Indexed: 11/12/2022]
Affiliation(s)
- Xinliang Zhu
- Division of Life Science; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
- Key Laboratory of Biomedical Information Engineering of Ministry of Education; School of Life Science and Technology; Xi'an Jiaotong University; Xi'an Shaanxi Province P. R. China
| | - Fengchao Yu
- Division of Biomedical Engineering; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
| | - Zhu Yang
- Division of Life Science; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
| | - Shichang Liu
- Division of Life Science; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
| | - Chen Dai
- Proteomics Center; Nanjing Agriculture University; Nanjing P. R. China
| | - Xiaoyun Lu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education; School of Life Science and Technology; Xi'an Jiaotong University; Xi'an Shaanxi Province P. R. China
| | - Chenyu Liu
- Division of Life Science; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
| | - Weichuan Yu
- Division of Biomedical Engineering; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
- Department of Electronic and Computer Engineering; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
| | - Ning Li
- Division of Life Science; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
- Division of Biomedical Engineering; The Hong Kong University of Science and Technology; Hong Kong SAR P. R. China
- HKUST Shenzhen Research Institute; Shenzhen P. R. China
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36
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Horne JE, Radford SE. A growing toolbox of techniques for studying β-barrel outer membrane protein folding and biogenesis. Biochem Soc Trans 2016; 44:802-9. [PMID: 27284045 PMCID: PMC4900752 DOI: 10.1042/bst20160020] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Indexed: 01/21/2023]
Abstract
Great strides into understanding protein folding have been made since the seminal work of Anfinsen over 40 years ago, but progress in the study of membrane protein folding has lagged behind that of their water soluble counterparts. Researchers in these fields continue to turn to more advanced techniques such as NMR, mass spectrometry, molecular dynamics (MD) and single molecule methods to interrogate how proteins fold. Our understanding of β-barrel outer membrane protein (OMP) folding has benefited from these advances in the last decade. This class of proteins must traverse the periplasm and then insert into an asymmetric lipid membrane in the absence of a chemical energy source. In this review we discuss old, new and emerging techniques used to examine the process of OMP folding and biogenesis in vitro and describe some of the insights and new questions these techniques have revealed.
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Affiliation(s)
- Jim E Horne
- Astbury Centre for Structural Molecular Biology and School of Molecular and Cellular Biology, The University of Leeds, Leeds LS2 9JT, U.K
| | - Sheena E Radford
- Astbury Centre for Structural Molecular Biology and School of Molecular and Cellular Biology, The University of Leeds, Leeds LS2 9JT, U.K.
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37
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Ji C, Li S, Reilly JP, Radivojac P, Tang H. XLSearch: a Probabilistic Database Search Algorithm for Identifying Cross-Linked Peptides. J Proteome Res 2016; 15:1830-41. [PMID: 27068484 PMCID: PMC5770149 DOI: 10.1021/acs.jproteome.6b00004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Chemical cross-linking combined with mass spectrometric analysis has become an important technique for probing protein three-dimensional structure and protein-protein interactions. A key step in this process is the accurate identification and validation of cross-linked peptides from tandem mass spectra. The identification of cross-linked peptides, however, presents challenges related to the expanded nature of the search space (all pairs of peptides in a sequence database) and the fact that some peptide-spectrum matches (PSMs) contain one correct and one incorrect peptide but often receive scores that are comparable to those in which both peptides are correctly identified. To address these problems and improve detection of cross-linked peptides, we propose a new database search algorithm, XLSearch, for identifying cross-linked peptides. Our approach is based on a data-driven scoring scheme that independently estimates the probability of correctly identifying each individual peptide in the cross-link given knowledge of the correct or incorrect identification of the other peptide. These conditional probabilities are subsequently used to estimate the joint posterior probability that both peptides are correctly identified. Using the data from two previous cross-link studies, we show the effectiveness of this scoring scheme, particularly in distinguishing between true identifications and those containing one incorrect peptide. We also provide evidence that XLSearch achieves more identifications than two alternative methods at the same false discovery rate (availability: https://github.com/COL-IU/XLSearch ).
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Affiliation(s)
- Chao Ji
- Department of Computer Science and Informatics, Indiana University, Bloomington, Indiana 47405, United States
| | - Sujun Li
- Department of Computer Science and Informatics, Indiana University, Bloomington, Indiana 47405, United States
| | - James P. Reilly
- Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States
| | - Predrag Radivojac
- Department of Computer Science and Informatics, Indiana University, Bloomington, Indiana 47405, United States
| | - Haixu Tang
- Department of Computer Science and Informatics, Indiana University, Bloomington, Indiana 47405, United States
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38
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Liu H, Zhang H, Orf GS, Lu Y, Jiang J, King JD, Wolf NR, Gross ML, Blankenship RE. Dramatic Domain Rearrangements of the Cyanobacterial Orange Carotenoid Protein upon Photoactivation. Biochemistry 2016; 55:1003-9. [PMID: 26848988 PMCID: PMC5201194 DOI: 10.1021/acs.biochem.6b00013] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Photosynthetic cyanobacteria make important contributions to global carbon and nitrogen budgets. A protein known as the orange carotenoid protein (OCP) protects the photosynthetic apparatus from damage by dissipating excess energy absorbed by the phycobilisome, the major light-harvesting complex in many cyanobacteria. OCP binds one carotenoid pigment, but the color of this pigment depends on conditions. It is orange in the dark and red when exposed to light. We modified the orange and red forms of OCP by using isotopically coded cross-linking agents and then analyzed the structural features by using liquid chromatography and tandem mass spectrometry. Unequivocal cross-linking pairs uniquely detected in red OCP indicate that, upon photoactivation, the OCP N-terminal domain (NTD) and C-terminal domain (CTD) reorient relative to each other. Our data also indicate that the intrinsically unstructured loop connecting the NTD and CTD not only is involved in the interaction between the two domains in orange OCP but also, together with the N-terminal extension, provides a structural buffer system facilitating an intramolecular breathing motion of the OCP, thus helping conversion back and forth from the orange to red form during the OCP photocycle. These results have important implications for understanding the molecular mechanism of action of cyanobacterial photoprotection.
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Affiliation(s)
- Haijun Liu
- Department of Biology, Washington University in St. Louis, MO, 63130, United Sates
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
| | - Hao Zhang
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
- Department of Chemistry, Washington University in St. Louis, MO, 63130, United Sates
| | - Gregory S. Orf
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
- Department of Chemistry, Washington University in St. Louis, MO, 63130, United Sates
| | - Yue Lu
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
- Department of Chemistry, Washington University in St. Louis, MO, 63130, United Sates
| | - Jing Jiang
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
| | - Jeremy D. King
- Department of Biology, Washington University in St. Louis, MO, 63130, United Sates
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
| | - Nathan R. Wolf
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
- Department of Chemistry, Washington University in St. Louis, MO, 63130, United Sates
| | - Michael L. Gross
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
- Department of Chemistry, Washington University in St. Louis, MO, 63130, United Sates
| | - Robert E. Blankenship
- Department of Biology, Washington University in St. Louis, MO, 63130, United Sates
- Photosynthetic Antenna Research Center (PARC), Washington University in St. Louis, MO, 63130, United Sates
- Department of Chemistry, Washington University in St. Louis, MO, 63130, United Sates
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39
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Itri F, Monti DM, Della Ventura B, Vinciguerra R, Chino M, Gesuele F, Lombardi A, Velotta R, Altucci C, Birolo L, Piccoli R, Arciello A. Femtosecond UV-laser pulses to unveil protein-protein interactions in living cells. Cell Mol Life Sci 2016; 73:637-48. [PMID: 26265182 PMCID: PMC11108384 DOI: 10.1007/s00018-015-2015-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Revised: 07/30/2015] [Accepted: 08/06/2015] [Indexed: 12/30/2022]
Abstract
A hallmark to decipher bioprocesses is to characterize protein-protein interactions in living cells. To do this, the development of innovative methodologies, which do not alter proteins and their natural environment, is particularly needed. Here, we report a method (LUCK, Laser UV Cross-linKing) to in vivo cross-link proteins by UV-laser irradiation of living cells. Upon irradiation of HeLa cells under controlled conditions, cross-linked products of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were detected, whose yield was found to be a linear function of the total irradiation energy. We demonstrated that stable dimers of GAPDH were formed through intersubunit cross-linking, as also observed when the pure protein was irradiated by UV-laser in vitro. We proposed a defined patch of aromatic residues located at the enzyme subunit interface as the cross-linking sites involved in dimer formation. Hence, by this technique, UV-laser is able to photofix protein surfaces that come in direct contact. Due to the ultra-short time scale of UV-laser-induced cross-linking, this technique could be extended to weld even transient protein interactions in their native context.
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Affiliation(s)
- Francesco Itri
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy
| | - Daria M Monti
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy
- Istituto Nazionale di Biostrutture e Biosistemi (INBB), Rome, Italy
| | | | - Roberto Vinciguerra
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy
| | - Marco Chino
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy
| | - Felice Gesuele
- Department of Physics, University of Naples Federico II, 80126, Naples, Italy
| | - Angelina Lombardi
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy
| | - Raffaele Velotta
- Department of Physics, University of Naples Federico II, 80126, Naples, Italy
- Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia (CNISM), UdR, Naples, Italy
| | - Carlo Altucci
- Department of Physics, University of Naples Federico II, 80126, Naples, Italy.
- Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia (CNISM), UdR, Naples, Italy.
| | - Leila Birolo
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy.
| | - Renata Piccoli
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy
- Istituto Nazionale di Biostrutture e Biosistemi (INBB), Rome, Italy
| | - Angela Arciello
- Department of Chemical Sciences, University of Naples Federico II, 80126, Naples, Italy.
- Istituto Nazionale di Biostrutture e Biosistemi (INBB), Rome, Italy.
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Leitner A, Faini M, Stengel F, Aebersold R. Crosslinking and Mass Spectrometry: An Integrated Technology to Understand the Structure and Function of Molecular Machines. Trends Biochem Sci 2016; 41:20-32. [DOI: 10.1016/j.tibs.2015.10.008] [Citation(s) in RCA: 226] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 10/18/2015] [Accepted: 10/29/2015] [Indexed: 01/30/2023]
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Visualizing the Ensemble Structures of Protein Complexes Using Chemical Cross-Linking Coupled with Mass Spectrometry. BIOPHYSICS REPORTS 2015; 1:127-138. [PMID: 27340691 PMCID: PMC4871902 DOI: 10.1007/s41048-015-0015-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 11/11/2015] [Indexed: 11/30/2022] Open
Abstract
Graphical Abstract ![]()
Abstract Chemical cross-linking coupled with mass spectrometry (CXMS) identifies protein residues that are close in space, and has been increasingly used for modeling the structures of protein complexes. Here we show that a single structure is usually sufficient to account for the intermolecular cross-links identified for a stable complex with sub-µmol/L binding affinity. In contrast, we show that the distance between two cross-linked residues in the different subunits of a transient or fleeting complex may exceed the maximum length of the cross-linker used, and the cross-links cannot be fully accounted for with a unique complex structure. We further show that the seemingly incompatible cross-links identified with high confidence arise from alternative modes of protein-protein interactions. By converting the intermolecular cross-links to ambiguous distance restraints, we established a rigid-body simulated annealing refinement protocol to seek the minimum set of conformers collectively satisfying the CXMS data. Hence we demonstrate that CXMS allows the depiction of the ensemble structures of protein complexes and elucidates the interaction dynamics for transient and fleeting complexes. Electronic supplementary material The online version of this article (doi:10.1007/s41048-015-0015-y) contains supplementary material, which is available to authorized users.
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Liu F, Heck AJR. Interrogating the architecture of protein assemblies and protein interaction networks by cross-linking mass spectrometry. Curr Opin Struct Biol 2015; 35:100-8. [DOI: 10.1016/j.sbi.2015.10.006] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2015] [Revised: 10/14/2015] [Accepted: 10/28/2015] [Indexed: 01/28/2023]
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Schweppe DK, Harding C, Chavez JD, Wu X, Ramage E, Singh PK, Manoil C, Bruce JE. Host-Microbe Protein Interactions during Bacterial Infection. ACTA ACUST UNITED AC 2015; 22:1521-1530. [PMID: 26548613 DOI: 10.1016/j.chembiol.2015.09.015] [Citation(s) in RCA: 102] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 09/11/2015] [Accepted: 09/24/2015] [Indexed: 12/24/2022]
Abstract
Interspecies protein-protein interactions are essential mediators of infection. While bacterial proteins required for host cell invasion and infection can be identified through bacterial mutant library screens, information about host target proteins and interspecies complex structures has been more difficult to acquire. Using an unbiased chemical crosslinking/mass spectrometry approach, we identified interspecies protein-protein interactions in human lung epithelial cells infected with Acinetobacter baumannii. These efforts resulted in identification of 3,076 crosslinked peptide pairs and 46 interspecies protein-protein interactions. Most notably, the key A. baumannii virulence factor, OmpA, was identified as crosslinked to host proteins involved in desmosomes, specialized structures that mediate host cell-to-cell adhesion. Co-immunoprecipitation and transposon mutant experiments were used to verify these interactions and demonstrate relevance for host cell invasion and acute murine lung infection. These results shed new light on A. baumannii-host protein interactions and their structural features, and the presented approach is generally applicable to other systems.
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Affiliation(s)
- Devin K Schweppe
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Christopher Harding
- Departments of Medicine and Microbiology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Juan D Chavez
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Xia Wu
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Elizabeth Ramage
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Pradeep K Singh
- Departments of Medicine and Microbiology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Colin Manoil
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Departments of Medicine and Microbiology, University of Washington School of Medicine, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington School of Medicine, 850 Republican Street, Brotman Building, Room 154, Seattle, WA 98109, USA.
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Boeri Erba E, Klein PA, Signor L. Combining a NHS ester and glutaraldehyde improves crosslinking prior to MALDI MS analysis of intact protein complexes. JOURNAL OF MASS SPECTROMETRY : JMS 2015; 50:1114-1119. [PMID: 26456778 DOI: 10.1002/jms.3626] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 06/11/2015] [Accepted: 06/18/2015] [Indexed: 06/05/2023]
Abstract
Protein complexes play pivotal roles in cellular life. Nevertheless, their characterization remains a substantial challenge. Mass spectrometry (MS) is an emerging tool to study protein assemblies, and electrospray ionization (ESI) is often used because it preserves non-covalent interactions. Matrix-assisted laser desorption/ionization (MALDI) represents an important alternative to ESI because it is more tolerant to salts and detergents (e.g. necessary in the case of membrane complex analyses). Prior to MALDI-MS, the subunits should be crosslinked (XLed). Moreover, crosslinking (XLing) is useful when constraint distances are determined to obtain low-resolution structural information. Here we report a novel XLing approach to study protein complexes with MALDI-MS. We investigated two tetramers (i.e. alcohol dehydrogenase and aldolase) larger than 140 kDa at two pH values (7.2 and 8.0). We tested two different crosslinkers (XLers) (i.e. BS(3) and glutaraldehyde), used separately or in combination. We utilized gentle agitation and ultracentrifugation. Our data shows that the pH influenced the XLing when using a single XLer. Combining two XLers was demonstrated to be more efficient than using a reagent alone. In particular, the combination determined a higher degree of XLing and lower mass shift. This could suggest a ranking in target amino acid availability. First residues at specific distances are linked by BS(3) , then glutaraldehyde binds residues that are still available at larger distances. Ultracentrifugation and gentle agitation both provide similar degrees of XLing, but the former method determined a lower mass increment resulting from redundant XLing. To conclude, we present an efficient dual XLing approach for determining mass and stoichiometry of protein assemblies.
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Affiliation(s)
- Elisabetta Boeri Erba
- Univ. Grenoble Alpes, IBS, F-38044, Grenoble, France
- CNRS, IBS, F-38044, Grenoble, France
- CEA, IBS, F-38044, Grenoble, France
| | - Pierre Andre Klein
- Univ. Grenoble Alpes, IBS, F-38044, Grenoble, France
- CNRS, IBS, F-38044, Grenoble, France
- CEA, IBS, F-38044, Grenoble, France
| | - Luca Signor
- Univ. Grenoble Alpes, IBS, F-38044, Grenoble, France
- CNRS, IBS, F-38044, Grenoble, France
- CEA, IBS, F-38044, Grenoble, France
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Quantitative interactome analysis reveals a chemoresistant edgotype. Nat Commun 2015; 6:7928. [PMID: 26235782 PMCID: PMC4532879 DOI: 10.1038/ncomms8928] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 06/25/2015] [Indexed: 02/07/2023] Open
Abstract
Chemoresistance is a common mode of therapy failure for many cancers. Tumours develop resistance to chemotherapeutics through a variety of mechanisms, with proteins serving pivotal roles. Changes in protein conformations and interactions affect the cellular response to environmental conditions contributing to the development of new phenotypes. The ability to understand how protein interaction networks adapt to yield new function or alter phenotype is limited by the inability to determine structural and protein interaction changes on a proteomic scale. Here, chemical crosslinking and mass spectrometry were employed to quantify changes in protein structures and interactions in multidrug-resistant human carcinoma cells. Quantitative analysis of the largest crosslinking-derived, protein interaction network comprising 1,391 crosslinked peptides allows for ‘edgotype' analysis in a cell model of chemoresistance. We detect consistent changes to protein interactions and structures, including those involving cytokeratins, topoisomerase-2-alpha, and post-translationally modified histones, which correlate with a chemoresistant phenotype. Changes in protein–protein interactions result in changes to cellular phenotype. Here the authors use crosslinking mass spectrometry to derive a quantitative protein interaction network in drug-sensitive and -resistant HeLa cells, and uncover a chemoresistant ‘edgotype'.
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46
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Hoopmann MR, Zelter A, Johnson RS, Riffle M, MacCoss MJ, Davis TN, Moritz RL. Kojak: efficient analysis of chemically cross-linked protein complexes. J Proteome Res 2015; 14:2190-8. [PMID: 25812159 DOI: 10.1021/pr501321h] [Citation(s) in RCA: 137] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Protein chemical cross-linking and mass spectrometry enable the analysis of protein-protein interactions and protein topologies; however, complicated cross-linked peptide spectra require specialized algorithms to identify interacting sites. The Kojak cross-linking software application is a new, efficient approach to identify cross-linked peptides, enabling large-scale analysis of protein-protein interactions by chemical cross-linking techniques. The algorithm integrates spectral processing and scoring schemes adopted from traditional database search algorithms and can identify cross-linked peptides using many different chemical cross-linkers with or without heavy isotope labels. Kojak was used to analyze both novel and existing data sets and was compared to existing cross-linking algorithms. The algorithm provided increased cross-link identifications over existing algorithms and, equally importantly, the results in a fraction of computational time. The Kojak algorithm is open-source, cross-platform, and freely available. This software provides both existing and new cross-linking researchers alike an effective way to derive additional cross-link identifications from new or existing data sets. For new users, it provides a simple analytical resource resulting in more cross-link identifications than other methods.
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Affiliation(s)
- Michael R Hoopmann
- †Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109, United States
| | - Alex Zelter
- ‡Department of Biochemistry, University of Washington, 1705 North East Pacific Street, Seattle, Washington 98195, United States
| | - Richard S Johnson
- §Department of Genome Sciences, University of Washington, 3720 15th Avenue North East, Seattle, Washington 98195, United States
| | - Michael Riffle
- ‡Department of Biochemistry, University of Washington, 1705 North East Pacific Street, Seattle, Washington 98195, United States
| | - Michael J MacCoss
- §Department of Genome Sciences, University of Washington, 3720 15th Avenue North East, Seattle, Washington 98195, United States
| | - Trisha N Davis
- ‡Department of Biochemistry, University of Washington, 1705 North East Pacific Street, Seattle, Washington 98195, United States
| | - Robert L Moritz
- †Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109, United States
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Probing the protein interaction network of Pseudomonas aeruginosa cells by chemical cross-linking mass spectrometry. Structure 2015; 23:762-73. [PMID: 25800553 DOI: 10.1016/j.str.2015.01.022] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Revised: 01/13/2015] [Accepted: 01/23/2015] [Indexed: 11/22/2022]
Abstract
In pathogenic Gram-negative bacteria, interactions among membrane proteins are key mediators of host cell attachment, invasion, pathogenesis, and antibiotic resistance. Membrane protein interactions are highly dependent upon local properties and environment, warranting direct measurements on native protein complex structures as they exist in cells. Here we apply in vivo chemical cross-linking mass spectrometry, to reveal the first large-scale protein interaction network in Pseudomonas aeruginosa, an opportunistic human pathogen, by covalently linking interacting protein partners, thereby fixing protein complexes in vivo. A total of 626 cross-linked peptide pairs, including previously unknown interactions of many membrane proteins, are reported. These pairs not only define the existence of these interactions in cells but also provide linkage constraints for complex structure predictions. Structures of three membrane proteins, namely, SecD-SecF, OprF, and OprI are predicted using in vivo cross-linked sites. These findings improve understanding of membrane protein interactions and structures in cells.
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Chen F, Gerber S, Korkhov VM, Mireku S, Bucher M, Locher KP, Zenobi R. On the efficiency of NHS ester cross-linkers for stabilizing integral membrane protein complexes. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2015; 26:493-498. [PMID: 25404159 DOI: 10.1007/s13361-014-1035-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Revised: 10/20/2014] [Accepted: 10/21/2014] [Indexed: 06/04/2023]
Abstract
We have previously presented a straightforward approach based on high-mass matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) to study membrane proteins. In addition, the stoichiometry of integral membrane protein complexes could be determined by MALDI-MS, following chemical cross-linking via glutaraldehyde. However, glutaraldehyde polymerizes in solution and reacts nonspecifically with various functional groups of proteins, limiting its usefulness for structural studies of protein complexes. Here, we investigated the capability of N-hydroxysuccinimide (NHS) esters, which react much more specifically, to cross-link membrane protein complexes such as PglK and BtuC(2)D(2). We present clear evidence that NHS esters are capable of stabilizing membrane protein complexes in situ, in the presence of detergents such as DDM, C12E8, and LDAO. The stabilization efficiency strongly depends on the membrane protein structure (i.e, the number of primary amine groups and the distances between primary amines). A minimum number of primary amine groups is required, and the distances between primary amines govern whether a cross-linker with a specific spacer arm length is able to bridge two amine groups.
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Affiliation(s)
- Fan Chen
- Department of Chemistry and Applied Biosciences, ETH Zürich, 8093, Zürich, Switzerland
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Combe CW, Fischer L, Rappsilber J. xiNET: cross-link network maps with residue resolution. Mol Cell Proteomics 2015; 14:1137-47. [PMID: 25648531 PMCID: PMC4390258 DOI: 10.1074/mcp.o114.042259] [Citation(s) in RCA: 215] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Indexed: 01/03/2023] Open
Abstract
UNLABELLED xiNET is a visualization tool for exploring cross-linking/mass spectrometry results. The interactive maps of the cross-link network that it generates are a type of node-link diagram. In these maps xiNET displays: (1) residue resolution positional information including linkage sites and linked peptides; (2) all types of cross-linking reaction product; (3) ambiguous results; and, (4) additional sequence information such as domains. xiNET runs in a browser and exports vector graphics which can be edited in common drawing packages to create publication quality figures. AVAILABILITY xiNET is open source, released under the Apache version 2 license. Results can be viewed by uploading data to http://crosslinkviewer.org/ or by downloading the software from http://github.com/colin-combe/crosslink-viewer and running it locally.
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Affiliation(s)
- Colin W Combe
- From the ‡Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom
| | - Lutz Fischer
- From the ‡Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom
| | - Juri Rappsilber
- From the ‡Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom; §Department of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany
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Gray S, Cilia M, Ghanim M. Circulative, "nonpropagative" virus transmission: an orchestra of virus-, insect-, and plant-derived instruments. Adv Virus Res 2014; 89:141-99. [PMID: 24751196 DOI: 10.1016/b978-0-12-800172-1.00004-5] [Citation(s) in RCA: 85] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Species of plant viruses within the Luteoviridae, Geminiviridae, and Nanoviridae are transmitted by phloem-feeding insects in a circulative, nonpropagative manner. The precise route of virus movement through the vector can differ across and within virus families, but these viruses all share many biological, biochemical, and ecological features. All share temporal and spatial constraints with respect to transmission efficiency. The viruses also induce physiological changes in their plant hosts resulting in behavioral changes in the insects that optimize the transmission of virus to new hosts. Virus proteins interact with insect, endosymbiont, and plant proteins to orchestrate, directly and indirectly, virus movement in insects and plants to facilitate transmission. Knowledge of these complex interactions allows for the development of new tools to reduce or prevent transmission, to quickly identify important vector populations, and to improve the management of these economically important viruses affecting agricultural and natural plant populations.
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Affiliation(s)
- Stewart Gray
- Biological Integrated Pest Management Research Unit, USDA, ARS, Ithaca, New York, USA; Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, New York, USA.
| | - Michelle Cilia
- Biological Integrated Pest Management Research Unit, USDA, ARS, Ithaca, New York, USA; Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, New York, USA; Boyce Thompson Institute for Plant Research, Ithaca, New York, USA
| | - Murad Ghanim
- Department of Entomology, Volcani Center, Bet Dagan, Israel
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